Research Engineer, Latency & Throughput
Mistral AI · Paris · London
Frontier labonsite
At a glance
Highlights
- Prototype novel inference ideas and ship proven gains into production serving stack.
- Research latency and throughput gains from idea to validated production impact.
- Work at research-production intersection with inference, pretraining and RL teams.
What they offer
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal and transportation allowances
Ideal candidate
A curious ML researcher who loves fast experimentation, embraces ambiguity and negative results, and wants to see ideas deliver real latency gains in production.
Requirements
- Strong ML background with knowledge of LLM training, architecture, tokenization, fine-tuning and evaluation
- Hands-on Python and PyTorch experience writing clean experimental code and iterating fast
- Research experience such as a thesis, publications or efficiency-focused lab or industry project
- Track record of forming hypotheses, designing controlled experiments and drawing clear conclusions
- Familiarity with state of the art in LLM inference, what works and open problems
- Self-starter, low-ego collaborator comfortable with ambiguity and negative results
- remote policy
- Hybrid in Paris or London; remote in France considered for senior profiles with monthly Paris visits
Lab profile
About Mistral AI
Provides full-stack AI solutions from frontier models to tools, applications, and compute.
What they build
- Frontier AI models
- Developer tools
- AI applications
Known for
- Full-stack AI development
- Enterprise co-creation and deployment
- Customizable systems that run on customer terms
- Focus on finance, manufacturing, defense, healthcare and public sector
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